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Applications

hgpu.org » Applications » Image and Signal Processing » Signal processing

Parallel Implementations of Beamforming Design and Filtering for Microphone Array Applications

Jorge Lorente, Gema Pinero, Antonio M. Vidal, Jose Antonio Belloch, Alberto Gonzalez

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Tags: Algorithms, CUDA, Filtering, nVidia, nVidia GeForce GTX 285, Signal processing

December 13, 2011 by hgpu

Real-time dual-mode standard/complex Fourier-domain OCT system using graphics processing unit accelerated 4D signal processing and visualization

Kang Zhang, Jin U. Kang

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Tags: CUDA, FFT, Medicine, nVidia, nVidia GeForce GTX 480, Rendering, Signal processing, Tomography, Visualization

December 10, 2011 by hgpu

Dataflow-Based Implementation of Layered Sensing Applications

Shuvra Bhattacharyya, Chung-Ching Shen, William Plishker, Nimish Sane, Hsiang-Huang Wu, Ruirui Gu

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Tags: CUDA, Flow analysis, nVidia, nVidia GeForce GTX 260, Optimization, Sensing, Signal processing

November 22, 2011 by hgpu

Compilation for Heterogeneous Computing: Automating Analyses, Transformations and Decisions

Serge Guelton, Francois Irigoin, Ronan Keryell

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Tags: Code generation, Computer science, CUDA, FPGA, Heterogeneous systems, nVidia, nVidia Quadro FX 2700 M, Package, Signal processing

November 17, 2011 by hgpu

Scope for performance enhancement of CMU Sphinx by parallelising with OpenCL

S. C. Harish, D. Balaji, M. Vignesh, P. Deepan Kumar, V. Adinarayanan

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Tags: OpenCL, Signal processing, Speech recognition

November 16, 2011 by hgpu

GPU Based Tissue Doppler Imaging

Zhengjuan Fan, Li Wang, Chaowei Tan, D.C. Liu

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Tags: Algorithms, CUDA, Heart, Medicine, nVidia, nVidia GeForce GT 250, Signal processing, Visualization

November 14, 2011 by hgpu

Synthetic Aperture Beamformation using the GPU

Jens Munk Hansen, Dana Schaa, Jorgen Arendt Jensen

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Tags: ATI, ATI Radeon HD 5870, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia GeForce GTX 580, OpenCL, Signal processing, Ultrasound

November 11, 2011 by hgpu

GPU-based Signal Processing Scheme for Bioinspired Optical Flow

Fermin Ayuso, Carlos Garcia, Guillermo Botella, Manuel Prieto, Francisco Tirado

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Tags: CUDA, Filtering, nVidia, Optical flow, Signal processing, Tesla C1060

November 8, 2011 by hgpu

Real-time Sliding Phase Vocoder using a Commodity GPU

Russell Bradford, John ffitch, Richard Dobson

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Tags: Algorithms, CUDA, nVidia, nVidia GeForce GTX 470, Signal processing

November 6, 2011 by hgpu

A CUDA Implementation of Independent Component Analysis in the Time-Frequency Domain

Radoslaw Mazur, Alfred Mertins

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Tags: Algorithms, CUDA, nVidia, nVidia GeForce 8800 GTS, Package, Signal processing

November 4, 2011 by hgpu

CPU and GPU Co-processing for Sound

Aleksander Gjermundsen

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Computer science, Filtering, Linear Algebra, nVidia, nVidia GeForce GTX 280, OpenCL, Package, Signal processing, Tesla C2050, Thesis

October 30, 2011 by hgpu

Dataflow-based Design and Implementation of Image Processing Applications

Chung-Ching Shen, William Plishker, Shuvra S. Bhattacharyya

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Tags: CUDA, DSP, FPGA, Image processing, nVidia, nVidia GeForce GTX 285, Signal processing

October 23, 2011 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

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high performance computing on graphics processing units: hgpu.org

Applications

Parallel Implementations of Beamforming Design and Filtering for Microphone Array Applications

Real-time dual-mode standard/complex Fourier-domain OCT system using graphics processing unit accelerated 4D signal processing and visualization

Dataflow-Based Implementation of Layered Sensing Applications

Compilation for Heterogeneous Computing: Automating Analyses, Transformations and Decisions

Scope for performance enhancement of CMU Sphinx by parallelising with OpenCL

GPU Based Tissue Doppler Imaging

Synthetic Aperture Beamformation using the GPU

GPU-based Signal Processing Scheme for Bioinspired Optical Flow

Real-time Sliding Phase Vocoder using a Commodity GPU

A CUDA Implementation of Independent Component Analysis in the Time-Frequency Domain

CPU and GPU Co-processing for Sound

Dataflow-based Design and Implementation of Image Processing Applications

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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